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NEW QUESTION: 1
Sie sind der Administrator für eine häufig verwendete OLTP-Microsoft SQL Server-Datenbank.
Sie beheben Leistungsprobleme, die bei der Verwendung gespeicherter Prozeduren in der Datenbank auftreten. Die Datenbank speichert Millionen von Bestellungen bei Tausenden von Kunden. Einige der Kunden haben eine große Anzahl von Bestellungen, während andere nur eine Bestellung haben. Sie aktualisieren die Statistiken und führen eine Defragmentierung aller Tabellen und Indizes durch. Zwei gespeicherte Prozeduren haben jedoch weiterhin Probleme beim Zugriff auf Daten.
p_GetCustomer akzeptiert @companyID als Parameter. Aus den Ergebnissen der Profilerstellung wissen Sie, dass 90 Prozent der Aufrufe den @companyid-Wert 5 verwenden, während die anderen 10 Prozent der Aufrufe gleichmäßig auf weitere 10000 Werte verteilt sind. Beim Anzeigen des Ausführungsplans stellen Sie fest, dass eine nicht gruppierte Indexsuche verwendet wird.
p_GetShipDate akzeptiert @orderID als Parameter und gibt das Versanddatum für diese Bestellung zurück. Sie stellen fest, dass der Ausführungsplan einen Scan für einen nicht gruppierten Index ausführt, dessen Indexschlüssel orderID ist.
Sie müssen jeder gespeicherten Prozedur entsprechende Abfragehinweise hinzufügen, um die Leistung zu verbessern.
Was tun? Ziehen Sie zum Beantworten die entsprechenden Verfahren auf die richtigen Hinweise. Jedes Verfahren kann einmal, mehrmals oder gar nicht angewendet werden. Möglicherweise müssen Sie die geteilte Leiste zwischen den Fenstern ziehen oder einen Bildlauf durchführen, um den Inhalt anzuzeigen.

Answer:
Explanation:

Erläuterung

Box 1: Optimieren für ..
OPTIMIZE FOR (@variable_name {UNKNOWN | = literal_constant} [, ... n]) Weist den Abfrageoptimierer an, einen bestimmten Wert für eine lokale Variable zu verwenden, wenn die Abfrage kompiliert und optimiert wird. Der Wert wird nur während der Abfrageoptimierung und nicht während der Abfrageausführung verwendet.
Kasten 2: FORCESEEK
FORCESEEK [(index_value (index_column_name [, ... n])]
Gibt an, dass das Abfrageoptimierungsprogramm nur eine Indexsuchoperation als Zugriffspfad auf die Daten in der Tabelle oder Ansicht verwendet.
Verweise:
https://docs.microsoft.com/en-us/sql/t-sql/queries/hints-transact-sql-query?view=sql-server-2017
https://docs.microsoft.com/en-us/sql/t-sql/queries/hints-transact-sql-table?view=sql-server-2017

NEW QUESTION: 2
A customer information storehouse enables
A. provide a seamless experience for customers.
B. reduce shipping charges and sales tax.
C. retailers to decelerate customer returns.
D. create a consistent brand image.
E. integrate the supply chain.
Answer: A

NEW QUESTION: 3
A Line of Business executive wants to gain their team's support for a new approach to customer service. What does a Business Model Canvas help them convey?
A. A prioritized list of current pain points
B. Best practice metrics and industry benchmarks
C. The company's current value chain
D. Target state capabilities
Answer: D
Explanation:
Topic 5, Create Business Design and Deliver Solution Recommendations

NEW QUESTION: 4
あなたはあなたの会社でMicrosoft SQL Server 2016のすべての展開を管理します。
データベースには、定期的に更新される大規模な製品カタログが含まれています。
月次ベースで製品カタログ全体をすべての支店に送信できるようにする必要があります。
どの構成を使用しますか？
A. 同じデータセンターのWindowsフェールオーバークラスターに構成された2台のサーバーSQL Serverはクラスター化されたインスタンスとして構成されています
B. 2台のサーバーが同じデータセンターに構成されているSQL Server可用性グループがAsynchronousCommit可用性モードに構成されている1台のサーバーがアクティブセカンダリとして構成されている
C. スナップショットレプリケーションを実行するように構成されたアプリケーションデータベースを含むSQL Server
D. 同じデータセンターに構成された2台のサーバー10分ごとにログ配布を実行するように構成されたプライマリサーバーウォームスタンバイとして構成されたバックアップサーバー
E. トランザクションレプリケーションを実行するように構成されたアプリケーションデータベースを含むSQL Server
F. 2つのサーバーが異なるデータセンターに構成されているSQL Server可用性グループがAsynchronousCommit可用性モードに構成されている
G. 2つのサーバーが異なるデータセンターに構成されているSQL Server可用性グループが同期コミット可用性モードに構成されている1つのサーバーがアクティブセカンダリとして構成されている
H. 同期コミット可用性モードで構成された2つのサーバーが同じサブネット上に構成されたSQL Server可用性グループ
Answer: C
Explanation:
Explanation
Snapshot replication distributes data exactly as it appears at a specific moment in time and does not monitor for updates to the data. When synchronization occurs, the entire snapshot is generated and sent to Subscribers.
Using snapshot replication by itself is most appropriate when one or more of the following is true:
* Data changes infrequently.
* It is acceptable to have copies of data that are out of date with respect to the Publisher for a period of time.
* Replicating small volumes of data.
A large volume of changes occurs over a short period of time.
References: https://docs.microsoft.com/en-us/sql/relational-databases/replication/snapshot-replication